AWS has increased key Amazon Bedrock AgentCore runtime quotas by up to fivefold, enabling enterprises to support more concurrent AI agents and user interactions without going through the quota-increase process that often slows production deployments.

While quota increase service requests are free themselves, the added capacity is more likely to translate into higher underlying compute and runtime consumption as enterprises expand AI deployments.

“The new default limits support up to 5,000 active concurrent sessions in US East (N. Virginia) and US West (Oregon), and 2,500 in all other supported Regions (previously 1,000 and 500 respectively),” AWS wrote in its release notes.

The hyperscaler has also increased the number of interactions each AI agent can handle from 25 tokens per second to 200 tokens per second across all supported regions, which it says will enable enterprises to support more simultaneous user requests.

Further, to help enterprises scale AI applications faster during periods of peak demand, the hyperscaler also quadrupled the rate at which new AI agent sessions can be created for container deployments, increasing the limit from 100 TPM to 400 TPM.